Gender: Non-binary 
Age: 18-24
Nationality: United States
Ethnicity: Asian / Pacific Islander;White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: Doctorate or above
Father's education: Doctorate or above
Self-assessed socioeconomic status (1-10): 8
Home: Rent 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Homemaker
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations);Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to rock/indie music;Listen to hiphop and rap;Exercise;Go to museums and galleries;Do arts and crafts;Watch sports;Other (Please specify) Reading
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Claude;GitHub Copilot 
LLM use cases: Coding;Writing (e.g., composing emails);Solving math or logical problems;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Analyze data 
Contexts of LLM use: Work;School/University;Entertainment;Learning;Personal;Technical 
Prompt 1: (Most recently, I used GitHub Copilot to have it analyze some code I'd written; too much to copy-paste into a box this small.)
Prompt 2: I have attached a photo of a graph of some data. I would like you to extract a set of points which define that graph, in a CSV format.
Prompt 3: Good job. Please do that again with the data shown in this graph.
Prompt 4: Write a screenplay for a short horror story containing a sudden dramatic twist at the end.
Prompt 5: Write an email for me, a software engineer, to ask for a raise. I had recent positive managerial feedback and successfully delivered a presentation to board members.
Prompt 6: You are a neuron. Now, I am another neuron who passes you a signal. How do you respond?
Prompt 7: get hyperpolarized nerd
Prompt 8: I am a teacher. Write a short email to a student telling them that they are asking for a favor and should be more polite.
Prompt 9: Write an email requesting a reply to an email sent two weeks ago
Prompt 10: Nearly a week ago, an email was sent requesting information. That email hasn't been answered. Write a follow-up email requesting the information again.